Urs Maag

1.2k total citations
47 papers, 892 citations indexed

About

Urs Maag is a scholar working on Safety, Risk, Reliability and Quality, Physical Therapy, Sports Therapy and Rehabilitation and Statistics and Probability. According to data from OpenAlex, Urs Maag has authored 47 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Safety, Risk, Reliability and Quality, 8 papers in Physical Therapy, Sports Therapy and Rehabilitation and 8 papers in Statistics and Probability. Recurrent topics in Urs Maag's work include Traffic and Road Safety (22 papers), Older Adults Driving Studies (8 papers) and Bayesian Methods and Mixture Models (5 papers). Urs Maag is often cited by papers focused on Traffic and Road Safety (22 papers), Older Adults Driving Studies (8 papers) and Bayesian Methods and Mixture Models (5 papers). Urs Maag collaborates with scholars based in Canada, Switzerland and United States. Urs Maag's co-authors include Claire Laberge-Nadeau, Denise Desjardins, Tannis Y. Arbuckle, June Chaikelson, Dolores Pushkar, Georges Dionne, Robert Bourbeau, François Bellavance, Sophie D. Lapierre and Charles Vanasse and has published in prestigious journals such as Journal of the American Statistical Association, Diabetes Care and Technometrics.

In The Last Decade

Urs Maag

40 papers receiving 789 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Urs Maag Canada 17 335 180 119 97 94 47 892
Allen R. Dobbs Canada 19 122 0.4× 169 0.9× 139 1.2× 417 4.3× 45 0.5× 38 1.7k
Anna Sundström Sweden 15 186 0.6× 153 0.8× 109 0.9× 76 0.8× 72 0.8× 47 950
H Moskowitz United States 13 241 0.7× 87 0.5× 67 0.6× 190 2.0× 95 1.0× 35 1.0k
Joan Severson United States 18 542 1.6× 304 1.7× 205 1.7× 192 2.0× 276 2.9× 35 1.3k
John R. Feaganes United States 18 277 0.8× 308 1.7× 125 1.1× 74 0.8× 163 1.7× 30 1.1k
Ellen E. Freeman Canada 29 389 1.2× 99 0.6× 458 3.8× 35 0.4× 174 1.9× 77 2.7k
Hamish A Deery Australia 11 685 2.0× 375 2.1× 253 2.1× 46 0.5× 239 2.5× 28 1.0k
Philip M. Salzberg United States 17 404 1.2× 120 0.7× 124 1.0× 82 0.8× 220 2.3× 37 836
Ganesh M. Babulal United States 21 93 0.3× 46 0.3× 273 2.3× 67 0.7× 103 1.1× 119 1.4k
Xianghong Sun China 19 493 1.5× 363 2.0× 220 1.8× 166 1.7× 127 1.4× 55 1.1k

Countries citing papers authored by Urs Maag

Since Specialization
Citations

This map shows the geographic impact of Urs Maag's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Urs Maag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Urs Maag more than expected).

Fields of papers citing papers by Urs Maag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Urs Maag. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Urs Maag. The network helps show where Urs Maag may publish in the future.

Co-authorship network of co-authors of Urs Maag

This figure shows the co-authorship network connecting the top 25 collaborators of Urs Maag. A scholar is included among the top collaborators of Urs Maag based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Urs Maag. Urs Maag is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Maag, Urs, et al.. (2023). A Profile of Adolescents who Attend DriverEducation for the Insurance Discount:Are Insurers Rewarding Bad Risks?. Érudit (Université de Montréal). 73(4). 499–524.
2.
Dionne, Georges, et al.. (2009). Analyse de l’effet des règles d’obtention d’un permis de conduire au Québec (1991) sur la sécurité routière. L Actualité économique. 75(1-2-3). 269–332.
3.
Maag, Urs, et al.. (2006). The Role of Driver Education in the Licensing Process in Quebec. Traffic Injury Prevention. 7(2). 130–142. 17 indexed citations
4.
Laberge-Nadeau, Claire, et al.. (2003). Wireless telephones and the risk of road crashes. Accident Analysis & Prevention. 35(5). 649–660. 162 indexed citations
5.
Arbuckle, Tannis Y., Urs Maag, Dolores Pushkar, & June Chaikelson. (1998). Individual differences in trajectory of intellectual development over 45 years of adulthood.. Psychology and Aging. 13(4). 663–675. 70 indexed citations
6.
Laberge-Nadeau, Claire, et al.. (1997). NEW DRIVERS:FIRST YEAR OF DRIVING EXPERIENCEAND THEIR CRASH RATES. Érudit (Université de Montréal). 65(3). 379–379. 4 indexed citations
7.
Maag, Urs, Charles Vanasse, Georges Dionne, & Claire Laberge-Nadeau. (1997). Taxi drivers' accidents: How binocular vision problems are related to their rate and severity in terms of the number of victims. Accident Analysis & Prevention. 29(2). 217–224. 54 indexed citations
8.
Pushkar, Dolores, Tannis Y. Arbuckle, Michael Conway, June Chaikelson, & Urs Maag. (1997). Everyday activity parameters and competence in older adults.. Psychology and Aging. 12(4). 600–609. 27 indexed citations
9.
Laberge-Nadeau, Claire, Georges Dionne, Urs Maag, et al.. (1996). Medical conditions and the severity of commercial motor vehicle drivers' road accidents. Accident Analysis & Prevention. 28(1). 43–51. 34 indexed citations
10.
Dionne, Georges, Denise Desjardins, Claire Laberge-Nadeau, & Urs Maag. (1995). Medical conditions, risk exposure, and truck drivers' accidents: An analysis with count data regression models. Accident Analysis & Prevention. 27(3). 295–305. 52 indexed citations
11.
Dionne, Georges, et al.. (1993). Medical Conditions, Risk Exposure and Truck Drivers's Accidents: An Analysis with Count Data Regression Models. RePEc: Research Papers in Economics. 1 indexed citations
12.
Bourbeau, Robert, Denise Desjardins, Urs Maag, & Claire Laberge-Nadeau. (1993). NECK INJURIES AMONG BELTED AND UNBELTED OCCUPANTS OF THE FRONT SEAT OF CARS. The Journal of Trauma: Injury, Infection, and Critical Care. 35(5). 794–799. 30 indexed citations
13.
Dionne, Georges, et al.. (1993). ANALYSE DE L'IMPACT ECONOMIQUE DES NORMES MEDICALES ET OPTOMETRIQUES DE CONDUITE SUR LES COUTS DES TRANSPORTEURS ET SUR LES COUTS SOCIAUX DES ACCIDENTS ROUTIERS. 2 indexed citations
14.
Joly, Pierre, et al.. (1993). Exposure for different license categories through a phone survey: Validity and feasibility studies. Accident Analysis & Prevention. 25(5). 529–536. 5 indexed citations
15.
Laberge-Nadeau, Claire, Urs Maag, & Robert Bourbeau. (1992). The effects of age and experience on accidents with injuries: Should the licensing age be raised?. Accident Analysis & Prevention. 24(2). 107–116. 45 indexed citations
16.
Maag, Urs, et al.. (1978). Distribution Results for Modified Kolmogorov-Smirnov Statistics for Truncated or Censored. Technometrics. 20(1). 29–32. 29 indexed citations
17.
Gold, R., et al.. (1977). Improved detection of ?-thalassaemia carriers by a two-test method. Human Genetics. 38(3). 315–324. 14 indexed citations
18.
Gold, R., Urs Maag, J. L. Neal, & C. R. Scriver. (1974). The use of biochemical data in screening for mutant alleles and in genetic counselling*. Annals of Human Genetics. 37(3). 315–326. 49 indexed citations
19.
Maag, Urs, et al.. (1973). Goodness-of-Fit Tests for Grouped Data. Journal of the American Statistical Association. 68(342). 462–462. 2 indexed citations
20.
Maag, Urs. (1973). The Asymptotic Expansion of the Distribution of the Goodness of Fit Statistic $V_{NN}$. The Annals of Statistics. 1(6). 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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